In [1]:
In [6]:
In [50]:
In [51]:
Out[51]:
Requestor GPN GUI LastName FirstName EmailAddress EmployeeStatusDesc Country Rank Name Badge Type Badge Status Domain Sub Domain Badge Classification Badge earned GDS SL Initiate a badge date
0 GPN 1 123 XY1 ABC abc.xyz@gds.ey.com Terminated Country 3 Rank 9 Bronze Approved Analytics Data science TECHNOLOGY 2020-03-26 SL 26 2018-05-30
1 GPN 2 123 XY2 ABC abc.xyz@gds.ey.com Terminated Country 3 Rank 9 Bronze Approved Emerging Technology Robotic process automation TECHNOLOGY 2019-04-26 SL 26 2019-04-22
2 GPN 3 123 XY3 ABC abc.xyz@gds.ey.com Active Country 3 Rank 9 Bronze Approved Emerging Technology Blockchain TECHNOLOGY 2020-02-20 SL 20 2020-01-14
3 GPN 4 123 XY4 ABC abc.xyz@gds.ey.com Active Country 3 Rank 1 Bronze Approved Analytics Data visualization TECHNOLOGY 2019-09-20 SL 8 2019-09-18
4 GPN 5 123 XY5 ABC abc.xyz@gds.ey.com Active Country 3 Rank 9 Bronze Approved Analytics Data visualization TECHNOLOGY 2019-10-31 SL 25 2019-10-21
In [52]:
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 20252 entries, 0 to 20251
Data columns (total 16 columns):
 #   Column                 Non-Null Count  Dtype         
---  ------                 --------------  -----         
 0   Requestor GPN          20252 non-null  object        
 1   GUI                    20252 non-null  int64         
 2   LastName               20252 non-null  object        
 3   FirstName              20252 non-null  object        
 4   EmailAddress           20252 non-null  object        
 5   EmployeeStatusDesc     20252 non-null  object        
 6   Country                20252 non-null  object        
 7   Rank Name              20252 non-null  object        
 8   Badge Type             20252 non-null  object        
 9   Badge Status           20252 non-null  object        
 10  Domain                 20252 non-null  object        
 11  Sub Domain             20252 non-null  object        
 12  Badge Classification   20252 non-null  object        
 13  Badge earned           20252 non-null  datetime64[ns]
 14  GDS SL                 20252 non-null  object        
 15  Initiate a badge date  20242 non-null  datetime64[ns]
dtypes: datetime64[ns](2), int64(1), object(13)
memory usage: 2.5+ MB
In [17]:
In [53]:
In [54]:
Jan 2018Jul 2018Jan 2019Jul 2019Jan 2020Jul 20200100200300400500600700800Export to plot.ly »
Requestor GPNGUILastNameFirstNameEmailAddressEmployeeStatusDescCountryRank NameBadge TypeBadge StatusDomainSub DomainBadge ClassificationGDS SLInitiate a badge date
In [67]:
Out[67]:
Requestor GPN GUI LastName FirstName EmailAddress EmployeeStatusDesc Country Rank Name Badge Type Badge Status Domain Sub Domain Badge Classification Badge earned GDS SL Initiate a badge date
2552 GPN 2553 123 XY2553 ABC abc.xyz@gds.ey.com Active Country 1 Rank 13 Bronze Approved Analytics Data integration TECHNOLOGY 2017-12-20 SL 6 2017-11-29
14848 GPN 14849 123 XY14849 ABC abc.xyz@gds.ey.com Active Country 3 Rank 13 Bronze Approved Emerging Technology Robotic process automation TECHNOLOGY 2017-12-20 SL 17 2017-12-19
2668 GPN 2669 123 XY2669 ABC abc.xyz@gds.ey.com Active Country 3 Rank 14 Bronze Approved Analytics Data science TECHNOLOGY 2018-01-08 SL 6 2017-12-28
17235 GPN 17236 123 XY17236 ABC abc.xyz@gds.ey.com Active Country 5 Rank 13 Bronze Approved Emerging Technology Robotic process automation TECHNOLOGY 2018-01-08 SL 20 2018-01-03
8105 GPN 8106 123 XY8106 ABC abc.xyz@gds.ey.com Terminated Country 3 Rank 15 Bronze Approved Emerging Technology Artificial intelligence TECHNOLOGY 2018-01-17 SL 6 2017-12-01
In [135]:
In [136]:
In [137]:
Out[137]:
process_list process_list_encoded
0 Advanced Manufacturing 0
1 Agile 1
2 Agility 2
3 Artificial intelligence 3
4 BCM - Corporate & Commercial Banking 4
5 BCM - Investment Banking & Capital Markets 5
6 Blockchain 6
7 Climate change and sustainability 7
8 Consumer Products 8
9 Curiosity 9
10 Cybersecurity 10
11 Data architecture 11
12 Data integration 12
13 Data platform 13
14 Data science 14
15 Data visualization 15
16 Design thinking 16
17 Digital 17
18 Dynamics 365 18
19 Finance 19
20 Global team leadership 20
21 Government & Public Sector 21
22 Inclusion and Belonging 22
23 Inclusive Intelligence 23
24 Information strategy 24
25 Inspiring 25
26 Insurance 26
27 Life Sciences 27
28 Mining & Metals 28
29 Mobility 29
30 Modern Workplace 30
31 My Purpose 31
32 Oil & Gas 32
33 Oil & gas 33
34 Power & Utilities 34
35 Power & utilities 35
36 Private Equity 36
37 Rank 1 37
38 Rank 10 38
39 Rank 11 39
40 Rank 12 40
41 Rank 13 41
42 Rank 14 42
43 Rank 15 43
44 Rank 2 44
45 Rank 3 45
46 Rank 4 46
47 Rank 5 47
48 Rank 6 48
49 Rank 7 49
50 Rank 8 50
51 Rank 9 51
52 Real Estate, Hospitality & Construction 52
53 Retail 53
54 Robotic process automation 54
55 SAP Foundation 55
56 Strategy 56
57 TMT - Media & Entertainment 57
58 TMT - Technology 58
59 TMT - Telecommunications 59
60 TMT ? Media & Entertainment 60
61 Teaming 61
62 Transformational leadership 62
63 WAM - Alternative asset management 63
64 WAM - Asset management 64
65 WAM - Asset servicing 65
66 WAM - Financial products 66
67 WAM - Wealth management 67
68 Wellbeing 68
In [77]:
In [78]:
Out[78]:
(28, 3)
In [138]:
In [139]:
In [56]:
In [57]:
In [88]:
In [89]:
Out[89]:
Parent_process_encoded New_process_encoded Initiate a badge date
2552 12 0 2017-11-29
14848 12 4 2017-12-19
2668 13 0 2017-12-28
17235 12 4 2018-01-03
8105 14 4 2017-12-01
In [90]:
In [92]:
In [93]:
Out[93]:
Parent_process_encoded New_process_encoded Initiate a badge date
2552 12 0 2017-11-29
14848 12 4 2017-12-19
2668 13 0 2017-12-28
17235 12 4 2018-01-03
8105 14 4 2017-12-01
In [ ]:
In [94]:
In [140]:
Out[140]:
Requestor GPN GUI LastName FirstName EmailAddress EmployeeStatusDesc Country Rank Name Badge Type Badge Status Domain Sub Domain Badge Classification Badge earned GDS SL Initiate a badge date Parent_process_encoded New_process_encoded
2552 GPN 2553 123 XY2553 ABC abc.xyz@gds.ey.com Active Country 1 Rank 13 Bronze Approved Analytics Data integration TECHNOLOGY 2017-12-20 SL 6 2017-11-29 41 12
14848 GPN 14849 123 XY14849 ABC abc.xyz@gds.ey.com Active Country 3 Rank 13 Bronze Approved Emerging Technology Robotic process automation TECHNOLOGY 2017-12-20 SL 17 2017-12-19 41 54
2668 GPN 2669 123 XY2669 ABC abc.xyz@gds.ey.com Active Country 3 Rank 14 Bronze Approved Analytics Data science TECHNOLOGY 2018-01-08 SL 6 2017-12-28 42 14
17235 GPN 17236 123 XY17236 ABC abc.xyz@gds.ey.com Active Country 5 Rank 13 Bronze Approved Emerging Technology Robotic process automation TECHNOLOGY 2018-01-08 SL 20 2018-01-03 41 54
8105 GPN 8106 123 XY8106 ABC abc.xyz@gds.ey.com Terminated Country 3 Rank 15 Bronze Approved Emerging Technology Artificial intelligence TECHNOLOGY 2018-01-17 SL 6 2017-12-01 43 3
In [141]:
In [142]:
Name: 
Type: DiGraph
Number of nodes: 69
Number of edges: 362
Average in degree:   5.2464
Average out degree:   5.2464
In [143]:
In [144]:
Out[144]:
69
In [145]:
In [146]:
Name: 
Type: DiGraph
Number of nodes: 69
Number of edges: 362
Average in degree:   5.2464
Average out degree:   5.2464
In [147]:
In [148]:
Out[148]:
69
In [149]:
Out[149]:
{(1, 251),
 (12, 150),
 (13, 305),
 (18, 117),
 (24, 264),
 (30, 27),
 (34, 99),
 (38, 122),
 (49, 101),
 (50, 254),
 (64, 149),
 (65, 157),
 (66, 130),
 (71, 323),
 (73, 33),
 (82, 271),
 (84, 12),
 (99, 167),
 (100, 114),
 (107, 250),
 (114, 339),
 (120, 141),
 (123, 217),
 (130, 166),
 (133, 179),
 (139, 40),
 (147, 108),
 (147, 187),
 (150, 155),
 (156, 24),
 (157, 278),
 (158, 312),
 (160, 224),
 (162, 69),
 (166, 86),
 (174, 152),
 (183, 265),
 (186, 8),
 (187, 209),
 (188, 265),
 (190, 35),
 (192, 268),
 (195, 45),
 (196, 243),
 (200, 246),
 (202, 261),
 (205, 252),
 (207, 290),
 (207, 354),
 (213, 318),
 (217, 90),
 (224, 299),
 (227, 135),
 (228, 180),
 (244, 132),
 (251, 209),
 (259, 79),
 (259, 348),
 (276, 316),
 (294, 57),
 (303, 3),
 (311, 104),
 (322, 342),
 (324, 95),
 (349, 213),
 (352, 238),
 (356, 90),
 (356, 230),
 (360, 265)}
In [150]:
In [151]:
In [152]:
Out[152]:
Requestor GPN GUI LastName FirstName EmailAddress EmployeeStatusDesc Country Rank Name Badge Type Badge Status Domain Sub Domain Badge Classification Badge earned GDS SL Initiate a badge date Parent_process_encoded New_process_encoded
2552 GPN 2553 123 XY2553 ABC abc.xyz@gds.ey.com Active Country 1 Rank 13 Bronze Approved Analytics Data integration TECHNOLOGY 2017-12-20 SL 6 2017-11-29 41 12
14848 GPN 14849 123 XY14849 ABC abc.xyz@gds.ey.com Active Country 3 Rank 13 Bronze Approved Emerging Technology Robotic process automation TECHNOLOGY 2017-12-20 SL 17 2017-12-19 41 54
2668 GPN 2669 123 XY2669 ABC abc.xyz@gds.ey.com Active Country 3 Rank 14 Bronze Approved Analytics Data science TECHNOLOGY 2018-01-08 SL 6 2017-12-28 42 14
17235 GPN 17236 123 XY17236 ABC abc.xyz@gds.ey.com Active Country 5 Rank 13 Bronze Approved Emerging Technology Robotic process automation TECHNOLOGY 2018-01-08 SL 20 2018-01-03 41 54
8105 GPN 8106 123 XY8106 ABC abc.xyz@gds.ey.com Terminated Country 3 Rank 15 Bronze Approved Emerging Technology Artificial intelligence TECHNOLOGY 2018-01-17 SL 6 2017-12-01 43 3
In [154]:
In [155]:
<class 'pandas.core.frame.DataFrame'>
Int64Index: 20252 entries, 2552 to 825
Data columns (total 2 columns):
 #   Column                  Non-Null Count  Dtype
---  ------                  --------------  -----
 0   Parent_process_encoded  20252 non-null  int64
 1   New_process_encoded     20252 non-null  int64
dtypes: int64(2)
memory usage: 474.7 KB
In [156]:
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 69 entries, 0 to 68
Data columns (total 2 columns):
 #   Column                  Non-Null Count  Dtype
---  ------                  --------------  -----
 0   Parent_process_encoded  69 non-null     int64
 1   New_process_encoded     69 non-null     int64
dtypes: int64(2)
memory usage: 1.2 KB
In [157]:
In [158]:
In [159]:
Name: 
Type: DiGraph
Number of nodes: 69
Number of edges: 348
Average in degree:   5.0435
Average out degree:   5.0435
In [160]:
Name: 
Type: DiGraph
Number of nodes: 69
Number of edges: 362
Average in degree:   5.2464
Average out degree:   5.2464
In [161]:
In [162]:
no of process common in train and test --  62
no of process present in train but not present in test --  7
no of process present in test but not present in train --  0
In [163]:
 % of processes not there in Train but exist in Test in total Test data are 0.0 %
In [164]:
In [165]:
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 16256 entries, 0 to 16255
Data columns (total 2 columns):
 #   Column                  Non-Null Count  Dtype
---  ------                  --------------  -----
 0   Parent_process_encoded  16256 non-null  int64
 1   New_process_encoded     16256 non-null  int64
dtypes: int64(2)
memory usage: 254.1 KB
In [166]:
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 4065 entries, 0 to 4064
Data columns (total 2 columns):
 #   Column                  Non-Null Count  Dtype
---  ------                  --------------  -----
 0   Parent_process_encoded  4065 non-null   int64
 1   New_process_encoded     4065 non-null   int64
dtypes: int64(2)
memory usage: 63.6 KB
In [167]:
In [168]:
Out[168]:
<69x69 sparse matrix of type '<class 'numpy.float64'>'
	with 348 stored elements in Compressed Sparse Row format>
In [170]:
In [171]:
U Shape (69, 3)
V Shape (3, 69)
s Shape (3,)
In [172]:
In [173]:
In [174]:
In [175]:
In [176]:
In [177]:
In [178]:
In [179]:
In [180]:
min 0.012232505880878514
max 0.027841927008712693
mean 0.014492753623188404
In [181]:

Shortest path

In [182]:

cheking for same community

In [183]:

Adar index

In [184]:

does process was following back

In [185]:

Katz centrality

In [186]:
In [187]:
min 0.11740320278885276
max 0.12503441097012818
mean 0.12036380529396302
In [188]:

Hits score

In [189]:
In [190]:
min 0.0
max 0.12806228269198106
mean 0.014492753623188406
In [191]:

From all above scores preparing data set

In [192]:
In [193]:
In [194]:
In [195]:
In [196]:
In [197]:
In [198]:
In [199]:
In [200]:
Out[200]:
Parent_process_encoded New_process_encoded jaccard_followers jaccard_followees num_followers_s num_followees_s num_followers_d num_followees_d inter_followers inter_followees
0 50 12 0.0 0.0 0 52 10 0 0 0
1 50 10 0.0 0.0 0 52 9 0 0 0
2 50 4 0.0 0.0 0 52 6 0 0 0
3 51 15 0.0 0.0 0 52 12 0 0 0
4 50 11 0.0 0.0 0 52 8 0 0 0
In [201]:
Out[201]:
Parent_process_encoded New_process_encoded jaccard_followers jaccard_followees num_followers_s num_followees_s num_followers_d num_followees_d inter_followers inter_followees
0 51 10 0.0 0.0 0 52 9 0 0 0
1 50 15 0.0 0.0 0 52 12 0 0 0
2 51 15 0.0 0.0 0 52 12 0 0 0
3 51 15 0.0 0.0 0 52 12 0 0 0
4 50 15 0.0 0.0 0 52 12 0 0 0
In [202]:
In [203]:
In [204]:
In [205]:
In [206]:
In [207]:
In [208]:
In [209]:
In [210]:
In [211]:
In [212]:
In [213]:
In [214]:
In [215]:
In [216]:

Adding SVD Features:

In [217]:
In [218]:
In [219]:
In [220]:
In [221]:
In [222]:
In [223]:
In [224]:
In [225]:
Out[225]:
Index(['Parent_process_encoded', 'New_process_encoded', 'jaccard_followers',
       'jaccard_followees', 'num_followers_s', 'num_followees_s',
       'num_followers_d', 'num_followees_d', 'inter_followers',
       'inter_followees', 'adar_index', 'follows_back', 'same_comp',
       'shortest_path', 'page_rank_s', 'page_rank_d', 'katz_s', 'katz_d',
       'hubs_s', 'hubs_d', 'authorities_s', 'authorities_d', 'indicator_link',
       'svd_u_s_1', 'svd_u_s_2', 'svd_u_s_3', 'svd_u_d_1', 'svd_u_d_2',
       'svd_u_d_3', 'svd_v_s_1', 'svd_v_s_2', 'svd_v_s_3', 'svd_v_d_1',
       'svd_v_d_2', 'svd_v_d_3'],
      dtype='object')
In [226]:
In [227]:
In [228]:
Out[228]:
Index(['Parent_process_encoded', 'New_process_encoded', 'jaccard_followers',
       'jaccard_followees', 'num_followers_s', 'num_followees_s',
       'num_followers_d', 'num_followees_d', 'inter_followers',
       'inter_followees', 'adar_index', 'follows_back', 'same_comp',
       'shortest_path', 'page_rank_s', 'page_rank_d', 'katz_s', 'katz_d',
       'hubs_s', 'hubs_d', 'authorities_s', 'authorities_d', 'indicator_link',
       'svd_u_s_1', 'svd_u_s_2', 'svd_u_s_3', 'svd_u_d_1', 'svd_u_d_2',
       'svd_u_d_3', 'svd_v_s_1', 'svd_v_s_2', 'svd_v_s_3', 'svd_v_d_1',
       'svd_v_d_2', 'svd_v_d_3'],
      dtype='object')
In [229]:
In [230]:
In [231]:
Out[231]:
Index(['jaccard_followers', 'jaccard_followees', 'num_followers_s',
       'num_followees_s', 'num_followers_d', 'num_followees_d',
       'inter_followers', 'inter_followees', 'adar_index', 'follows_back',
       'same_comp', 'shortest_path', 'page_rank_s', 'page_rank_d', 'katz_s',
       'katz_d', 'hubs_s', 'hubs_d', 'authorities_s', 'authorities_d',
       'svd_u_s_1', 'svd_u_s_2', 'svd_u_s_3', 'svd_u_d_1', 'svd_u_d_2',
       'svd_u_d_3', 'svd_v_s_1', 'svd_v_s_2', 'svd_v_s_3', 'svd_v_d_1',
       'svd_v_d_2', 'svd_v_d_3'],
      dtype='object')
In [232]:
Out[232]:
Index(['jaccard_followers', 'jaccard_followees', 'num_followers_s',
       'num_followees_s', 'num_followers_d', 'num_followees_d',
       'inter_followers', 'inter_followees', 'adar_index', 'follows_back',
       'same_comp', 'shortest_path', 'page_rank_s', 'page_rank_d', 'katz_s',
       'katz_d', 'hubs_s', 'hubs_d', 'authorities_s', 'authorities_d',
       'svd_u_s_1', 'svd_u_s_2', 'svd_u_s_3', 'svd_u_d_1', 'svd_u_d_2',
       'svd_u_d_3', 'svd_v_s_1', 'svd_v_s_2', 'svd_v_s_3', 'svd_v_d_1',
       'svd_v_d_2', 'svd_v_d_3'],
      dtype='object')
In [233]:
Train Shape (16256, 32)
Test Shape (4065, 32)
In [234]:
In [236]:
Estimators =  2 Train Score 0.9991352152696276 test Score 0.9995060508767597
Estimators =  4 Train Score 0.9997531626041345 test Score 1.0
Estimators =  8 Train Score 0.9983054502880735 test Score 0.9982750123213406
Estimators =  16 Train Score 0.9983054502880735 test Score 0.9982750123213406
Estimators =  32 Train Score 0.9996914722942121 test Score 1.0
Out[236]:
Text(0.5, 1.0, 'Estimators vs score at depth of 5')
In [238]:
depth =  2 Train Score 0.9996914722942121 test Score 1.0
depth =  3 Train Score 0.9996914722942121 test Score 1.0
depth =  5 Train Score 0.9996914722942121 test Score 1.0
In [239]:
Out[239]:
RandomizedSearchCV(cv=10,
                   estimator=RandomForestClassifier(n_jobs=-1, random_state=25),
                   n_iter=5,
                   param_distributions={'max_depth': <scipy.stats._distn_infrastructure.rv_frozen object at 0x00000290799BB640>,
                                        'min_samples_leaf': <scipy.stats._distn_infrastructure.rv_frozen object at 0x00000290763BCFD0>,
                                        'min_samples_split': <scipy.stats._distn_infrastructure.rv_frozen object at 0x0000029076840FA0>,
                                        'n_estimators': <scipy.stats._distn_infrastructure.rv_frozen object at 0x00000290799BB430>},
                   random_state=25, scoring='f1')
In [240]:
In [242]:
Out[242]:
{'mean_fit_time': array([0.61889114, 0.35158172, 0.33939002, 0.37359102, 0.32581248]),
 'std_fit_time': array([0.89712686, 0.02091809, 0.02498854, 0.09110225, 0.01639886]),
 'mean_score_time': array([0.05118563, 0.05541503, 0.06098297, 0.05514898, 0.07051964]),
 'std_score_time': array([0.01421521, 0.01517801, 0.01694131, 0.01314753, 0.02244539]),
 'param_max_depth': masked_array(data=[1, 3, 2, 4, 1],
              mask=[False, False, False, False, False],
        fill_value='?',
             dtype=object),
 'param_min_samples_leaf': masked_array(data=[51, 33, 56, 28, 28],
              mask=[False, False, False, False, False],
        fill_value='?',
             dtype=object),
 'param_min_samples_split': masked_array(data=[125, 138, 179, 165, 111],
              mask=[False, False, False, False, False],
        fill_value='?',
             dtype=object),
 'param_n_estimators': masked_array(data=[117, 109, 106, 108, 121],
              mask=[False, False, False, False, False],
        fill_value='?',
             dtype=object),
 'params': [{'max_depth': 1,
   'min_samples_leaf': 51,
   'min_samples_split': 125,
   'n_estimators': 117},
  {'max_depth': 3,
   'min_samples_leaf': 33,
   'min_samples_split': 138,
   'n_estimators': 109},
  {'max_depth': 2,
   'min_samples_leaf': 56,
   'min_samples_split': 179,
   'n_estimators': 106},
  {'max_depth': 4,
   'min_samples_leaf': 28,
   'min_samples_split': 165,
   'n_estimators': 108},
  {'max_depth': 1,
   'min_samples_leaf': 28,
   'min_samples_split': 111,
   'n_estimators': 121}],
 'split0_test_score': array([0.99846012, 0.99938348, 0.99846012, 0.99969164, 0.99969164]),
 'split1_test_score': array([0.99815157, 1.        , 0.99815157, 1.        , 1.        ]),
 'split2_test_score': array([0.99815157, 1.        , 0.99815157, 1.        , 1.        ]),
 'split3_test_score': array([0.99815157, 1.        , 0.99815157, 1.        , 1.        ]),
 'split4_test_score': array([0.99815157, 1.        , 0.99815157, 1.        , 1.        ]),
 'split5_test_score': array([0.99815157, 0.99969145, 0.99815157, 1.        , 1.        ]),
 'split6_test_score': array([0.99845917, 0.99969145, 0.99845917, 0.99969145, 0.99969145]),
 'split7_test_score': array([0.99845917, 0.99969145, 0.99845917, 1.        , 1.        ]),
 'split8_test_score': array([0.99845917, 1.        , 0.99845917, 1.        , 1.        ]),
 'split9_test_score': array([0.99845917, 1.        , 0.99845917, 1.        , 1.        ]),
 'mean_test_score': array([0.99830546, 0.99984578, 0.99830546, 0.99993831, 0.99993831]),
 'std_test_score': array([0.00015389, 0.00020685, 0.00015389, 0.00012338, 0.00012338]),
 'rank_test_score': array([4, 3, 4, 1, 1])}
In [243]:
mean test scores [0.99830546 0.99984578 0.99830546 0.99993831 0.99993831]
In [244]:
In [245]:
In [246]:
Train confusion_matrix
Test confusion_matrix
In [247]:
Train f1 score 0.9999382792247872
Test f1 score 0.9998765889176848
In [248]:
In [249]:
In [250]:
Out[250]:
Requestor GPN GUI LastName FirstName EmailAddress EmployeeStatusDesc Country Rank Name Badge Type Badge Status Domain Sub Domain Badge Classification Badge earned GDS SL Initiate a badge date Parent_process_encoded New_process_encoded
2552 GPN 2553 123 XY2553 ABC abc.xyz@gds.ey.com Active Country 1 Rank 13 Bronze Approved Analytics Data integration TECHNOLOGY 2017-12-20 SL 6 2017-11-29 41 12
14848 GPN 14849 123 XY14849 ABC abc.xyz@gds.ey.com Active Country 3 Rank 13 Bronze Approved Emerging Technology Robotic process automation TECHNOLOGY 2017-12-20 SL 17 2017-12-19 41 54
2668 GPN 2669 123 XY2669 ABC abc.xyz@gds.ey.com Active Country 3 Rank 14 Bronze Approved Analytics Data science TECHNOLOGY 2018-01-08 SL 6 2017-12-28 42 14
17235 GPN 17236 123 XY17236 ABC abc.xyz@gds.ey.com Active Country 5 Rank 13 Bronze Approved Emerging Technology Robotic process automation TECHNOLOGY 2018-01-08 SL 20 2018-01-03 41 54
8105 GPN 8106 123 XY8106 ABC abc.xyz@gds.ey.com Terminated Country 3 Rank 15 Bronze Approved Emerging Technology Artificial intelligence TECHNOLOGY 2018-01-17 SL 6 2017-12-01 43 3
In [252]:
In [254]:
1020304050Node ConnectionsProcess network connectionsNo. of connections
In [255]:
In [256]:
In [257]:
In [258]:
Out[258]:
2
In [259]:
In [261]:
In [262]:
Out[262]:
{'Rank 8': 0.28711010507406176,
 'Rank 9': 0.2867747122021847,
 'Rank 7': 0.2541078601051435,
 'Rank 6': 0.22362891754612146,
 'Rank 14': 0.21928827416322574,
 'Rank 13': 0.21148903277061548,
 'Rank 15': 0.21134427142382572,
 'Rank 1': 0.20464329114227736,
 'Rank 12': 0.16154979388549456,
 'Design thinking': 0.13782838406520967}
In [263]:
<ipython-input-263-1c944a50fa9a>:5: MatplotlibDeprecationWarning:

default base may change from np.e to 10.  To suppress this warning specify the base keyword argument.

In [264]:
Completed Louvain algorithm .. . . 
In [265]:
Modularity:  0.100718079423705
Total number of Communities= 6
In [266]:
Out[266]:
Members
Community_Num
0 Rank 7 | Rank 8 | Rank 6 | Government & Public Sector | Finance | Life Sciences | Advanced Manufacturing | Consumer Products | Retail | WAM - Financial products | Oil & Gas | WAM - Alternative asset management | Oil & gas | Power & utilities | TMT - Media & Entertainment | TMT - Telecommunications
1 Rank 14 | Rank 15 | Rank 1 | Agile | Agility | Blockchain | Curiosity | Cybersecurity | Data architecture | My Purpose | Power & Utilities | Real Estate, Hospitality & Construction | WAM - Asset management | Wellbeing | TMT - Technology | Climate change and sustainability | SAP Foundation
2 Rank 4 | Rank 3 | Data integration | Data visualization | Design thinking | Digital
3 Rank 11 | Rank 5 | Rank 9 | Artificial intelligence | Inclusive Intelligence | Inspiring | Robotic process automation | TMT ? Media & Entertainment | Teaming | Transformational leadership | BCM - Corporate & Commercial Banking | WAM - Wealth management | Mining & Metals | WAM - Asset servicing | Private Equity
4 Rank 10 | Inclusion and Belonging
5 Rank 12 | Rank 2 | Rank 13 | BCM - Investment Banking & Capital Markets | Data platform | Data science | Global team leadership | Information strategy | Modern Workplace | Dynamics 365 | Insurance | Mobility | Strategy
In [267]:
In [269]:
Out[269]:
Rank Name Sub Domain process_count
0 Rank 1 Agile 26
1 Rank 1 Agility 2
2 Rank 1 Artificial intelligence 13
3 Rank 1 BCM - Investment Banking & Capital Markets 1
4 Rank 1 Blockchain 5
5 Rank 1 Curiosity 3
6 Rank 1 Cybersecurity 56
7 Rank 1 Data architecture 1
8 Rank 1 Data integration 24
9 Rank 1 Data platform 3
10 Rank 1 Data science 53
11 Rank 1 Data visualization 386
12 Rank 1 Design thinking 68
13 Rank 1 Digital 34
14 Rank 1 Global team leadership 1
15 Rank 1 Government & Public Sector 1
16 Rank 1 Inclusion and Belonging 39
17 Rank 1 Inclusive Intelligence 18
18 Rank 1 Information strategy 1
19 Rank 1 Inspiring 24
20 Rank 1 Modern Workplace 1
21 Rank 1 My Purpose 1
22 Rank 1 Power & Utilities 1
23 Rank 1 Real Estate, Hospitality & Construction 1
24 Rank 1 Robotic process automation 55
25 Rank 1 TMT ? Media & Entertainment 1
26 Rank 1 Teaming 41
27 Rank 1 Transformational leadership 1
28 Rank 1 WAM - Asset management 1
29 Rank 1 Wellbeing 5
30 Rank 10 Design thinking 1
31 Rank 10 Inclusion and Belonging 1
32 Rank 11 Design thinking 3
33 Rank 11 Inclusion and Belonging 1
34 Rank 11 Inclusive Intelligence 1
35 Rank 11 Inspiring 2
36 Rank 11 Robotic process automation 3
37 Rank 11 Teaming 1
38 Rank 11 Transformational leadership 3
39 Rank 12 Agile 14
40 Rank 12 Artificial intelligence 8
41 Rank 12 Cybersecurity 6
42 Rank 12 Data architecture 2
43 Rank 12 Data platform 2
44 Rank 12 Data science 3
45 Rank 12 Data visualization 20
46 Rank 12 Design thinking 28
47 Rank 12 Digital 5
48 Rank 12 Dynamics 365 2
49 Rank 12 Global team leadership 1
50 Rank 12 Inclusion and Belonging 10
51 Rank 12 Inclusive Intelligence 3
52 Rank 12 Information strategy 1
53 Rank 12 Inspiring 4
54 Rank 12 Insurance 1
55 Rank 12 Mobility 1
56 Rank 12 Modern Workplace 1
57 Rank 12 My Purpose 1
58 Rank 12 Robotic process automation 13
59 Rank 12 TMT ? Media & Entertainment 1
60 Rank 12 Teaming 8
61 Rank 12 Transformational leadership 4
62 Rank 13 Agile 61
63 Rank 13 Agility 1
64 Rank 13 Artificial intelligence 23
65 Rank 13 BCM - Investment Banking & Capital Markets 1
66 Rank 13 Blockchain 3
67 Rank 13 Cybersecurity 18
68 Rank 13 Data architecture 3
69 Rank 13 Data integration 15
70 Rank 13 Data platform 9
71 Rank 13 Data science 17
72 Rank 13 Data visualization 88
73 Rank 13 Design thinking 86
74 Rank 13 Digital 36
75 Rank 13 Dynamics 365 1
76 Rank 13 Finance 1
77 Rank 13 Global team leadership 15
78 Rank 13 Government & Public Sector 1
79 Rank 13 Inclusion and Belonging 19
80 Rank 13 Inclusive Intelligence 7
81 Rank 13 Information strategy 2
82 Rank 13 Inspiring 6
83 Rank 13 Insurance 1
84 Rank 13 Life Sciences 2
85 Rank 13 Modern Workplace 2
86 Rank 13 Power & Utilities 1
87 Rank 13 Real Estate, Hospitality & Construction 2
88 Rank 13 Robotic process automation 36
89 Rank 13 Strategy 1
90 Rank 13 TMT ? Media & Entertainment 1
91 Rank 13 Teaming 22
92 Rank 13 Transformational leadership 13
93 Rank 14 Advanced Manufacturing 2
94 Rank 14 Agile 57
95 Rank 14 Agility 1
96 Rank 14 Artificial intelligence 24
97 Rank 14 BCM - Investment Banking & Capital Markets 2
98 Rank 14 Blockchain 16
99 Rank 14 Cybersecurity 50
100 Rank 14 Data architecture 13
101 Rank 14 Data integration 19
102 Rank 14 Data platform 17
103 Rank 14 Data science 32
104 Rank 14 Data visualization 256
105 Rank 14 Design thinking 97
106 Rank 14 Digital 57
107 Rank 14 Dynamics 365 2
108 Rank 14 Global team leadership 9
109 Rank 14 Government & Public Sector 1
110 Rank 14 Inclusion and Belonging 17
111 Rank 14 Inclusive Intelligence 5
112 Rank 14 Information strategy 4
113 Rank 14 Inspiring 9
114 Rank 14 Insurance 1
115 Rank 14 Life Sciences 1
116 Rank 14 Modern Workplace 1
117 Rank 14 Power & Utilities 2
118 Rank 14 Real Estate, Hospitality & Construction 2
119 Rank 14 Robotic process automation 34
120 Rank 14 TMT - Technology 1
121 Rank 14 TMT ? Media & Entertainment 1
122 Rank 14 Teaming 26
123 Rank 14 Transformational leadership 9
124 Rank 14 WAM - Asset management 1
125 Rank 15 Agile 62
126 Rank 15 Artificial intelligence 50
127 Rank 15 BCM - Corporate & Commercial Banking 1
128 Rank 15 Blockchain 4
129 Rank 15 Climate change and sustainability 2
130 Rank 15 Consumer Products 7
131 Rank 15 Curiosity 1
132 Rank 15 Cybersecurity 74
133 Rank 15 Data architecture 5
134 Rank 15 Data integration 42
135 Rank 15 Data platform 15
136 Rank 15 Data science 43
137 Rank 15 Data visualization 491
138 Rank 15 Design thinking 106
139 Rank 15 Digital 45
140 Rank 15 Dynamics 365 1
141 Rank 15 Global team leadership 3
142 Rank 15 Inclusion and Belonging 28
143 Rank 15 Inclusive Intelligence 14
144 Rank 15 Information strategy 1
145 Rank 15 Inspiring 16
146 Rank 15 Life Sciences 2
147 Rank 15 Modern Workplace 2
148 Rank 15 Power & Utilities 1
149 Rank 15 Retail 1
150 Rank 15 Robotic process automation 71
151 Rank 15 SAP Foundation 1
152 Rank 15 TMT - Technology 1
153 Rank 15 Teaming 28
154 Rank 15 Transformational leadership 6
155 Rank 15 WAM - Asset management 1
156 Rank 15 WAM - Financial products 1
157 Rank 15 Wellbeing 1
158 Rank 2 Data science 1
159 Rank 3 Data integration 1
160 Rank 3 Data science 1
161 Rank 3 Data visualization 11
162 Rank 3 Design thinking 6
163 Rank 3 Digital 1
164 Rank 3 Robotic process automation 4
165 Rank 4 Data integration 1
166 Rank 4 Data visualization 1
167 Rank 4 Design thinking 1
168 Rank 5 Artificial intelligence 1
169 Rank 5 BCM - Corporate & Commercial Banking 1
170 Rank 5 Data visualization 5
171 Rank 5 Design thinking 7
172 Rank 5 Digital 1
173 Rank 5 Inclusion and Belonging 5
174 Rank 5 Inclusive Intelligence 2
175 Rank 5 Inspiring 1
176 Rank 5 Robotic process automation 1
177 Rank 5 TMT ? Media & Entertainment 1
178 Rank 5 Teaming 3
179 Rank 5 Transformational leadership 2
180 Rank 5 WAM - Wealth management 1
181 Rank 6 Agile 20
182 Rank 6 Agility 1
183 Rank 6 Artificial intelligence 7
184 Rank 6 BCM - Corporate & Commercial Banking 3
185 Rank 6 BCM - Investment Banking & Capital Markets 4
186 Rank 6 Blockchain 7
187 Rank 6 Consumer Products 2
188 Rank 6 Cybersecurity 19
189 Rank 6 Data architecture 1
190 Rank 6 Data integration 6
191 Rank 6 Data platform 1
192 Rank 6 Data science 10
193 Rank 6 Data visualization 37
194 Rank 6 Design thinking 34
195 Rank 6 Digital 20
196 Rank 6 Global team leadership 2
197 Rank 6 Government & Public Sector 1
198 Rank 6 Inclusion and Belonging 13
199 Rank 6 Inclusive Intelligence 3
200 Rank 6 Information strategy 3
201 Rank 6 Inspiring 4
202 Rank 6 Insurance 7
203 Rank 6 Life Sciences 2
204 Rank 6 Oil & Gas 2
205 Rank 6 Power & Utilities 2
206 Rank 6 Real Estate, Hospitality & Construction 1
207 Rank 6 Retail 1
208 Rank 6 Robotic process automation 24
209 Rank 6 TMT - Technology 1
210 Rank 6 Teaming 12
211 Rank 6 Transformational leadership 6
212 Rank 6 WAM - Alternative asset management 2
213 Rank 6 WAM - Financial products 2
214 Rank 6 WAM - Wealth management 2
215 Rank 7 Advanced Manufacturing 1
216 Rank 7 Agile 88
217 Rank 7 Artificial intelligence 31
218 Rank 7 BCM - Corporate & Commercial Banking 15
219 Rank 7 BCM - Investment Banking & Capital Markets 14
220 Rank 7 Blockchain 24
221 Rank 7 Consumer Products 15
222 Rank 7 Cybersecurity 89
223 Rank 7 Data architecture 27
224 Rank 7 Data integration 65
225 Rank 7 Data platform 33
226 Rank 7 Data science 61
227 Rank 7 Data visualization 238
228 Rank 7 Design thinking 90
229 Rank 7 Digital 73
230 Rank 7 Global team leadership 10
231 Rank 7 Government & Public Sector 2
232 Rank 7 Inclusion and Belonging 21
233 Rank 7 Inclusive Intelligence 12
234 Rank 7 Information strategy 12
235 Rank 7 Inspiring 5
236 Rank 7 Insurance 68
237 Rank 7 Life Sciences 18
238 Rank 7 Mining & Metals 1
239 Rank 7 Mobility 1
240 Rank 7 My Purpose 1
241 Rank 7 Oil & Gas 8
242 Rank 7 Oil & gas 1
243 Rank 7 Power & Utilities 8
244 Rank 7 Power & utilities 1
245 Rank 7 Real Estate, Hospitality & Construction 11
246 Rank 7 Retail 4
247 Rank 7 Robotic process automation 93
248 Rank 7 Strategy 1
249 Rank 7 TMT - Media & Entertainment 1
250 Rank 7 TMT - Technology 3
251 Rank 7 TMT ? Media & Entertainment 1
252 Rank 7 Teaming 46
253 Rank 7 Transformational leadership 13
254 Rank 7 WAM - Alternative asset management 7
255 Rank 7 WAM - Asset management 17
256 Rank 7 WAM - Financial products 15
257 Rank 7 WAM - Wealth management 7
258 Rank 8 Advanced Manufacturing 3
259 Rank 8 Agile 433
260 Rank 8 Agility 7
261 Rank 8 Artificial intelligence 217
262 Rank 8 BCM - Corporate & Commercial Banking 88
263 Rank 8 BCM - Investment Banking & Capital Markets 50
264 Rank 8 Blockchain 162
265 Rank 8 Climate change and sustainability 3
266 Rank 8 Consumer Products 37
267 Rank 8 Curiosity 1
268 Rank 8 Cybersecurity 545
269 Rank 8 Data architecture 153
270 Rank 8 Data integration 757
271 Rank 8 Data platform 212
272 Rank 8 Data science 424
273 Rank 8 Data visualization 1431
274 Rank 8 Design thinking 334
275 Rank 8 Digital 330
276 Rank 8 Dynamics 365 5
277 Rank 8 Finance 5
278 Rank 8 Global team leadership 10
279 Rank 8 Government & Public Sector 16
280 Rank 8 Inclusion and Belonging 37
281 Rank 8 Inclusive Intelligence 52
282 Rank 8 Information strategy 43
283 Rank 8 Inspiring 23
284 Rank 8 Insurance 334
285 Rank 8 Life Sciences 56
286 Rank 8 Mining & Metals 6
287 Rank 8 Modern Workplace 5
288 Rank 8 My Purpose 18
289 Rank 8 Oil & Gas 39
290 Rank 8 Oil & gas 2
291 Rank 8 Power & Utilities 40
292 Rank 8 Power & utilities 2
293 Rank 8 Real Estate, Hospitality & Construction 57
294 Rank 8 Retail 19
295 Rank 8 Robotic process automation 508
296 Rank 8 SAP Foundation 2
297 Rank 8 Strategy 7
298 Rank 8 TMT - Media & Entertainment 3
299 Rank 8 TMT - Technology 19
300 Rank 8 TMT - Telecommunications 3
301 Rank 8 TMT ? Media & Entertainment 4
302 Rank 8 Teaming 159
303 Rank 8 Transformational leadership 31
304 Rank 8 WAM - Alternative asset management 33
305 Rank 8 WAM - Asset management 68
306 Rank 8 WAM - Asset servicing 3
307 Rank 8 WAM - Financial products 75
308 Rank 8 WAM - Wealth management 43
309 Rank 8 Wellbeing 20
310 Rank 9 Advanced Manufacturing 9
311 Rank 9 Agile 542
312 Rank 9 Agility 3
313 Rank 9 Artificial intelligence 372
314 Rank 9 BCM - Corporate & Commercial Banking 131
315 Rank 9 BCM - Investment Banking & Capital Markets 54
316 Rank 9 Blockchain 220
317 Rank 9 Climate change and sustainability 5
318 Rank 9 Consumer Products 22
319 Rank 9 Curiosity 1
320 Rank 9 Cybersecurity 722
321 Rank 9 Data architecture 283
322 Rank 9 Data integration 846
323 Rank 9 Data platform 167
324 Rank 9 Data science 584
325 Rank 9 Data visualization 1648
326 Rank 9 Design thinking 565
327 Rank 9 Digital 337
328 Rank 9 Dynamics 365 10
329 Rank 9 Finance 5
330 Rank 9 Global team leadership 4
331 Rank 9 Government & Public Sector 9
332 Rank 9 Inclusion and Belonging 45
333 Rank 9 Inclusive Intelligence 46
334 Rank 9 Information strategy 42
335 Rank 9 Inspiring 23
336 Rank 9 Insurance 427
337 Rank 9 Life Sciences 40
338 Rank 9 Mining & Metals 4
339 Rank 9 Mobility 1
340 Rank 9 Modern Workplace 3
341 Rank 9 My Purpose 2
342 Rank 9 Oil & Gas 30
343 Rank 9 Power & Utilities 40
344 Rank 9 Private Equity 1
345 Rank 9 Real Estate, Hospitality & Construction 72
346 Rank 9 Retail 11
347 Rank 9 Robotic process automation 652
348 Rank 9 SAP Foundation 1
349 Rank 9 Strategy 20
350 Rank 9 TMT - Media & Entertainment 4
351 Rank 9 TMT - Technology 13
352 Rank 9 TMT - Telecommunications 2
353 Rank 9 TMT ? Media & Entertainment 3
354 Rank 9 Teaming 65
355 Rank 9 Transformational leadership 8
356 Rank 9 WAM - Alternative asset management 29
357 Rank 9 WAM - Asset management 38
358 Rank 9 WAM - Asset servicing 1
359 Rank 9 WAM - Financial products 105
360 Rank 9 WAM - Wealth management 52
361 Rank 9 Wellbeing 14
In [270]:
In [271]:
Out[271]:
{'Rank 1': 0.4411764705882353,
 'Agile': 0.1323529411764706,
 'Agility': 0.08823529411764705,
 'Artificial intelligence': 0.14705882352941177,
 'BCM - Investment Banking & Capital Markets': 0.10294117647058823,
 'Blockchain': 0.11764705882352941,
 'Curiosity': 0.058823529411764705,
 'Cybersecurity': 0.1323529411764706,
 'Data architecture': 0.1323529411764706,
 'Data integration': 0.14705882352941177,
 'Data platform': 0.1323529411764706,
 'Data science': 0.16176470588235295,
 'Data visualization': 0.1764705882352941,
 'Design thinking': 0.20588235294117646,
 'Digital': 0.16176470588235295,
 'Global team leadership': 0.1323529411764706,
 'Government & Public Sector': 0.10294117647058823,
 'Inclusion and Belonging': 0.1764705882352941,
 'Inclusive Intelligence': 0.16176470588235295,
 'Information strategy': 0.1323529411764706,
 'Inspiring': 0.16176470588235295,
 'Modern Workplace': 0.10294117647058823,
 'My Purpose': 0.07352941176470588,
 'Power & Utilities': 0.11764705882352941,
 'Real Estate, Hospitality & Construction': 0.10294117647058823,
 'Robotic process automation': 0.1764705882352941,
 'TMT ? Media & Entertainment': 0.11764705882352941,
 'Teaming': 0.16176470588235295,
 'Transformational leadership': 0.16176470588235295,
 'WAM - Asset management': 0.08823529411764705,
 'Wellbeing': 0.058823529411764705,
 'Rank 10': 0.029411764705882353,
 'Rank 11': 0.10294117647058823,
 'Rank 12': 0.3382352941176471,
 'Dynamics 365': 0.08823529411764705,
 'Insurance': 0.10294117647058823,
 'Mobility': 0.044117647058823525,
 'Rank 13': 0.45588235294117646,
 'Finance': 0.044117647058823525,
 'Life Sciences': 0.10294117647058823,
 'Strategy': 0.058823529411764705,
 'Rank 14': 0.47058823529411764,
 'Advanced Manufacturing': 0.058823529411764705,
 'TMT - Technology': 0.08823529411764705,
 'Rank 15': 0.4852941176470588,
 'BCM - Corporate & Commercial Banking': 0.08823529411764705,
 'Climate change and sustainability': 0.044117647058823525,
 'Consumer Products': 0.07352941176470588,
 'Retail': 0.07352941176470588,
 'SAP Foundation': 0.044117647058823525,
 'WAM - Financial products': 0.07352941176470588,
 'Rank 2': 0.014705882352941176,
 'Rank 3': 0.08823529411764705,
 'Rank 4': 0.044117647058823525,
 'Rank 5': 0.19117647058823528,
 'WAM - Wealth management': 0.07352941176470588,
 'Rank 6': 0.5,
 'Oil & Gas': 0.058823529411764705,
 'WAM - Alternative asset management': 0.058823529411764705,
 'Rank 7': 0.6323529411764706,
 'Mining & Metals': 0.044117647058823525,
 'Oil & gas': 0.029411764705882353,
 'Power & utilities': 0.029411764705882353,
 'TMT - Media & Entertainment': 0.044117647058823525,
 'Rank 8': 0.7647058823529411,
 'TMT - Telecommunications': 0.029411764705882353,
 'WAM - Asset servicing': 0.029411764705882353,
 'Rank 9': 0.7647058823529411,
 'Private Equity': 0.014705882352941176}
In [272]:
Out[272]:
{30: 8.9,
 9: 36.666666666666664,
 6: 34.416666666666664,
 10: 32.95,
 7: 34.714285714285715,
 8: 37.083333333333336,
 4: 43.875,
 11: 31.606060606060606,
 12: 29.444444444444443,
 14: 25.785714285714285,
 5: 41.44,
 2: 42.4,
 23: 9.391304347826088,
 3: 40.80952380952381,
 31: 8.870967741935484,
 32: 8.875,
 33: 8.272727272727273,
 1: 31.5,
 13: 10.307692307692308,
 34: 8.441176470588236,
 43: 7.465116279069767,
 52: 6.884615384615385}
In [278]:
Out[278]:
"# Let us find all the paths available\nfor path in nx.all_simple_paths(FG, source='Rank 1', target='Rank 10'):\n    print(path)"
In [282]:
Out[282]:
['Rank 1', 'Data integration', 'Rank 4']
In [287]:
Out[287]:
['Rank 10',
 'Inclusion and Belonging',
 'Rank 11',
 'Inclusive Intelligence',
 'Rank 5',
 'BCM - Corporate & Commercial Banking',
 'Rank 15']
In [289]:
Out[289]:
['Design thinking',
 'Inclusion and Belonging',
 'Inclusive Intelligence',
 'Inspiring',
 'Robotic process automation',
 'Teaming',
 'Transformational leadership']
In [290]:
{'Rank 8', 'Rank 9'} {'Rank 8', 'Rank 9'} {'Rank 7'}
In [291]:
{'Rank 9'} {'Rank 8'} {'Rank 7'}
In [292]:
0.0
{'Rank 1': 0, 'Agile': 0, 'Agility': 0, 'Artificial intelligence': 0, 'BCM - Investment Banking & Capital Markets': 0, 'Blockchain': 0, 'Curiosity': 0, 'Cybersecurity': 0, 'Data architecture': 0, 'Data integration': 0, 'Data platform': 0, 'Data science': 0, 'Data visualization': 0, 'Design thinking': 0, 'Digital': 0, 'Global team leadership': 0, 'Government & Public Sector': 0, 'Inclusion and Belonging': 0, 'Inclusive Intelligence': 0, 'Information strategy': 0, 'Inspiring': 0, 'Modern Workplace': 0, 'My Purpose': 0, 'Power & Utilities': 0, 'Real Estate, Hospitality & Construction': 0, 'Robotic process automation': 0, 'TMT ? Media & Entertainment': 0, 'Teaming': 0, 'Transformational leadership': 0, 'WAM - Asset management': 0, 'Wellbeing': 0, 'Rank 10': 0, 'Rank 11': 0, 'Rank 12': 0, 'Dynamics 365': 0, 'Insurance': 0, 'Mobility': 0, 'Rank 13': 0, 'Finance': 0, 'Life Sciences': 0, 'Strategy': 0, 'Rank 14': 0, 'Advanced Manufacturing': 0, 'TMT - Technology': 0, 'Rank 15': 0, 'BCM - Corporate & Commercial Banking': 0, 'Climate change and sustainability': 0, 'Consumer Products': 0, 'Retail': 0, 'SAP Foundation': 0, 'WAM - Financial products': 0, 'Rank 2': 0, 'Rank 3': 0, 'Rank 4': 0, 'Rank 5': 0, 'WAM - Wealth management': 0, 'Rank 6': 0, 'Oil & Gas': 0, 'WAM - Alternative asset management': 0, 'Rank 7': 0, 'Mining & Metals': 0, 'Oil & gas': 0, 'Power & utilities': 0, 'TMT - Media & Entertainment': 0, 'Rank 8': 0, 'TMT - Telecommunications': 0, 'WAM - Asset servicing': 0, 'Rank 9': 0, 'Private Equity': 0}
In [294]:
{'Rank 1': 0, 'Agile': 0, 'Agility': 0, 'Artificial intelligence': 0, 'BCM - Investment Banking & Capital Markets': 0, 'Blockchain': 0, 'Curiosity': 0, 'Cybersecurity': 0, 'Data architecture': 0, 'Data integration': 0, 'Data platform': 0, 'Data science': 0, 'Data visualization': 0, 'Design thinking': 0, 'Digital': 0, 'Global team leadership': 0, 'Government & Public Sector': 0, 'Inclusion and Belonging': 0, 'Inclusive Intelligence': 0, 'Information strategy': 0, 'Inspiring': 0, 'Modern Workplace': 0, 'My Purpose': 0, 'Power & Utilities': 0, 'Real Estate, Hospitality & Construction': 0, 'Robotic process automation': 0, 'TMT ? Media & Entertainment': 0, 'Teaming': 0, 'Transformational leadership': 0, 'WAM - Asset management': 0, 'Wellbeing': 0, 'Rank 10': 0, 'Rank 11': 0, 'Rank 12': 0, 'Dynamics 365': 0, 'Insurance': 0, 'Mobility': 0, 'Rank 13': 0, 'Finance': 0, 'Life Sciences': 0, 'Strategy': 0, 'Rank 14': 0, 'Advanced Manufacturing': 0, 'TMT - Technology': 0, 'Rank 15': 0, 'BCM - Corporate & Commercial Banking': 0, 'Climate change and sustainability': 0, 'Consumer Products': 0, 'Retail': 0, 'SAP Foundation': 0, 'WAM - Financial products': 0, 'Rank 2': 0, 'Rank 3': 0, 'Rank 4': 0, 'Rank 5': 0, 'WAM - Wealth management': 0, 'Rank 6': 0, 'Oil & Gas': 0, 'WAM - Alternative asset management': 0, 'Rank 7': 0, 'Mining & Metals': 0, 'Oil & gas': 0, 'Power & utilities': 0, 'TMT - Media & Entertainment': 0, 'Rank 8': 0, 'TMT - Telecommunications': 0, 'WAM - Asset servicing': 0, 'Rank 9': 0, 'Private Equity': 0}
0
In [296]:
True
1
[{'WAM - Alternative asset management', 'Mobility', 'Data visualization', 'Curiosity', 'Rank 8', 'Finance', 'Rank 9', 'Inclusion and Belonging', 'Government & Public Sector', 'Digital', 'Teaming', 'Information strategy', 'Retail', 'WAM - Wealth management', 'Robotic process automation', 'Advanced Manufacturing', 'Insurance', 'TMT - Technology', 'Global team leadership', 'SAP Foundation', 'Oil & gas', 'Rank 15', 'TMT - Media & Entertainment', 'TMT ? Media & Entertainment', 'Rank 10', 'WAM - Asset servicing', 'Consumer Products', 'Oil & Gas', 'WAM - Asset management', 'Design thinking', 'Dynamics 365', 'Rank 7', 'Rank 4', 'Rank 11', 'Agile', 'Power & Utilities', 'Rank 5', 'Data science', 'Rank 13', 'Climate change and sustainability', 'Blockchain', 'My Purpose', 'Cybersecurity', 'Inspiring', 'Inclusive Intelligence', 'BCM - Investment Banking & Capital Markets', 'Wellbeing', 'Mining & Metals', 'Rank 1', 'Rank 2', 'Data platform', 'Power & utilities', 'TMT - Telecommunications', 'BCM - Corporate & Commercial Banking', 'Data architecture', 'Agility', 'Rank 14', 'Private Equity', 'Modern Workplace', 'Artificial intelligence', 'Data integration', 'Transformational leadership', 'Rank 3', 'Rank 6', 'Life Sciences', 'WAM - Financial products', 'Rank 12', 'Strategy', 'Real Estate, Hospitality & Construction'}]
{'WAM - Alternative asset management', 'Mobility', 'Data visualization', 'Curiosity', 'Rank 8', 'Finance', 'Rank 9', 'Inclusion and Belonging', 'Government & Public Sector', 'Digital', 'Teaming', 'Information strategy', 'Retail', 'WAM - Wealth management', 'Robotic process automation', 'Advanced Manufacturing', 'Insurance', 'TMT - Technology', 'Global team leadership', 'SAP Foundation', 'Oil & gas', 'Rank 15', 'TMT - Media & Entertainment', 'TMT ? Media & Entertainment', 'Rank 10', 'WAM - Asset servicing', 'Consumer Products', 'Oil & Gas', 'WAM - Asset management', 'Design thinking', 'Dynamics 365', 'Rank 7', 'Rank 4', 'Rank 11', 'Agile', 'Power & Utilities', 'Rank 5', 'Data science', 'Rank 13', 'Climate change and sustainability', 'Blockchain', 'My Purpose', 'Cybersecurity', 'Inspiring', 'Inclusive Intelligence', 'BCM - Investment Banking & Capital Markets', 'Wellbeing', 'Mining & Metals', 'Rank 1', 'Rank 2', 'Data platform', 'Power & utilities', 'TMT - Telecommunications', 'BCM - Corporate & Commercial Banking', 'Data architecture', 'Agility', 'Rank 14', 'Private Equity', 'Modern Workplace', 'Artificial intelligence', 'Data integration', 'Transformational leadership', 'Rank 3', 'Rank 6', 'Life Sciences', 'WAM - Financial products', 'Rank 12', 'Strategy', 'Real Estate, Hospitality & Construction'}
1
1
In [297]:
Eccentricity:  {'Rank 1': 3, 'Agile': 3, 'Agility': 3, 'Artificial intelligence': 3, 'BCM - Investment Banking & Capital Markets': 3, 'Blockchain': 3, 'Curiosity': 3, 'Cybersecurity': 3, 'Data architecture': 3, 'Data integration': 3, 'Data platform': 3, 'Data science': 3, 'Data visualization': 3, 'Design thinking': 3, 'Digital': 3, 'Global team leadership': 3, 'Government & Public Sector': 3, 'Inclusion and Belonging': 3, 'Inclusive Intelligence': 3, 'Information strategy': 3, 'Inspiring': 3, 'Modern Workplace': 3, 'My Purpose': 3, 'Power & Utilities': 3, 'Real Estate, Hospitality & Construction': 3, 'Robotic process automation': 3, 'TMT ? Media & Entertainment': 3, 'Teaming': 3, 'Transformational leadership': 3, 'WAM - Asset management': 3, 'Wellbeing': 3, 'Rank 10': 4, 'Rank 11': 4, 'Rank 12': 3, 'Dynamics 365': 3, 'Insurance': 3, 'Mobility': 3, 'Rank 13': 3, 'Finance': 3, 'Life Sciences': 3, 'Strategy': 3, 'Rank 14': 3, 'Advanced Manufacturing': 3, 'TMT - Technology': 3, 'Rank 15': 3, 'BCM - Corporate & Commercial Banking': 3, 'Climate change and sustainability': 3, 'Consumer Products': 3, 'Retail': 3, 'SAP Foundation': 3, 'WAM - Financial products': 3, 'Rank 2': 4, 'Rank 3': 3, 'Rank 4': 4, 'Rank 5': 4, 'WAM - Wealth management': 3, 'Rank 6': 3, 'Oil & Gas': 3, 'WAM - Alternative asset management': 3, 'Rank 7': 3, 'Mining & Metals': 3, 'Oil & gas': 4, 'Power & utilities': 4, 'TMT - Media & Entertainment': 3, 'Rank 8': 3, 'TMT - Telecommunications': 3, 'WAM - Asset servicing': 3, 'Rank 9': 3, 'Private Equity': 4}
Diameter:  4
Radius:  3
Preiphery:  ['Rank 10', 'Rank 11', 'Rank 2', 'Rank 4', 'Rank 5', 'Oil & gas', 'Power & utilities', 'Private Equity']
Center:  ['Rank 1', 'Agile', 'Agility', 'Artificial intelligence', 'BCM - Investment Banking & Capital Markets', 'Blockchain', 'Curiosity', 'Cybersecurity', 'Data architecture', 'Data integration', 'Data platform', 'Data science', 'Data visualization', 'Design thinking', 'Digital', 'Global team leadership', 'Government & Public Sector', 'Inclusion and Belonging', 'Inclusive Intelligence', 'Information strategy', 'Inspiring', 'Modern Workplace', 'My Purpose', 'Power & Utilities', 'Real Estate, Hospitality & Construction', 'Robotic process automation', 'TMT ? Media & Entertainment', 'Teaming', 'Transformational leadership', 'WAM - Asset management', 'Wellbeing', 'Rank 12', 'Dynamics 365', 'Insurance', 'Mobility', 'Rank 13', 'Finance', 'Life Sciences', 'Strategy', 'Rank 14', 'Advanced Manufacturing', 'TMT - Technology', 'Rank 15', 'BCM - Corporate & Commercial Banking', 'Climate change and sustainability', 'Consumer Products', 'Retail', 'SAP Foundation', 'WAM - Financial products', 'Rank 3', 'WAM - Wealth management', 'Rank 6', 'Oil & Gas', 'WAM - Alternative asset management', 'Rank 7', 'Mining & Metals', 'TMT - Media & Entertainment', 'Rank 8', 'TMT - Telecommunications', 'WAM - Asset servicing', 'Rank 9']
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